Google Cloud Platform Data Engineer -- 100% Remote -- W2 Profiles

Role: Google Cloud Platform Data Engineer

Location: 100% Remote

Key Responsibilities

• Design, develop, and maintain large-scale data pipelines across Google Cloud Platform.
• Build scalable ETL/ELT solutions using BigQuery, Dataproc, PySpark, Python, and Cloud Composer.
• Develop and optimize data processing workflows using Spark and Spark SQL.
• Create and maintain workflows and DAGs using Apache Airflow / Cloud Composer.
• Develop data solutions using Google Cloud Storage (GCS) and other Google Cloud Platform services.
• Implement and support enterprise Data Quality frameworks.
• Perform data validation, reconciliation, profiling, and quality checks.
• Collaborate with business stakeholders, data architects, and governance teams to understand requirements and deliver reliable data solutions.
• Apply data modeling and performance-tuning techniques to improve data processing and query performance.
• Troubleshoot and resolve data pipeline and production issues.
• Participate in requirements gathering, technical design, development, testing, deployment, and production support.
• Follow Agile development practices and participate in sprint planning, stand-ups, reviews, and retrospectives.
• Maintain code using Git/GitHub and support CI/CD processes.

Required Qualifications

• 5+ years of experience in Data Engineering.
• 5+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Strong experience with:
• Google BigQuery
• Google Dataproc
• Cloud Composer / Apache Airflow
• Google Cloud Storage (GCS)
• Advanced experience with:
• PySpark
• Python
• Spark SQL
• ETL / ELT development
• Strong understanding of data quality, data validation, reconciliation, and data governance.
• Experience with data modeling and performance tuning.
• Strong understanding of enterprise-scale cloud data architecture and solutions.
• Experience working in Agile/Scrum environments.
• Hands-on experience with Git, GitHub, Jira, and CI/CD pipelines.
• Strong troubleshooting, analytical, and problem-solving skills.